Analytical Research Regarding the Implementation of a Prescriptive Maintenance System Applied to IT&C Equipment DOI Creative Commons

Ana-Diana Pop-Suărășan,

Nicolae Ungureanu, Adrian Petrovan

et al.

Machines, Journal Year: 2025, Volume and Issue: 13(5), P. 412 - 412

Published: May 14, 2025

In the era of digitalization, prescriptive maintenance and equipment condition monitoring are essential for ensuring continuity operations in various industries. The proposed software solution provides an integrated maintaining equipment, facilitating collection, processing interpretation data related to their performance. Prioritization recommendations alerts within application is based on a set well-defined criteria that integrate both analysis physical sensor computer logs. This achieved through hierarchical classification mechanism, combining predefined thresholds, assessments severity levels. project focused collection identify prevent potential failures. structure integrates components such as processing, machine learning, databases recommendation generation, each which has specific role workflow. integration logs enhances robustness, scalability efficiency, high performance adaptability varying needs users. system processes analyzes large volumes. It combines threshold-based logic with learning enhance adaptability.

Language: Английский

Analytical Research Regarding the Implementation of a Prescriptive Maintenance System Applied to IT&C Equipment DOI Creative Commons

Ana-Diana Pop-Suărășan,

Nicolae Ungureanu, Adrian Petrovan

et al.

Machines, Journal Year: 2025, Volume and Issue: 13(5), P. 412 - 412

Published: May 14, 2025

In the era of digitalization, prescriptive maintenance and equipment condition monitoring are essential for ensuring continuity operations in various industries. The proposed software solution provides an integrated maintaining equipment, facilitating collection, processing interpretation data related to their performance. Prioritization recommendations alerts within application is based on a set well-defined criteria that integrate both analysis physical sensor computer logs. This achieved through hierarchical classification mechanism, combining predefined thresholds, assessments severity levels. project focused collection identify prevent potential failures. structure integrates components such as processing, machine learning, databases recommendation generation, each which has specific role workflow. integration logs enhances robustness, scalability efficiency, high performance adaptability varying needs users. system processes analyzes large volumes. It combines threshold-based logic with learning enhance adaptability.

Language: Английский

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